By Emma A., Bunia A., Othilia FS., Tobias C. & Joanna R.
Materials: What data did you use and where did you get it from? Methods: Which modelling did you use? Think of the methods section as a recipe for how to go from raw to results => Flow chart? Discuss how data was collected or generated for your study. Include any relevant details or procedures.
Original data (01_dat_load.tsv)
# A tibble: 10 × 2
sample_name sample_tags
<chr> <chr>
1 310183_TCRB 06 Years, 6 Years at visit, Caucasian, Control, Control 022, GAD…
2 310110_TCRB 0 Years at visit, 09 Months, 6.37808219178082 Years at diagnosis…
3 310206_TCRB 0 Years at visit, 10 Months, 10.558904109589 Years at diagnosis,…
4 310288_TCRB 09 Years, 9 Years at visit, 9.56986301369863 Years at diagnosis,…
5 310271_TCRB 02 Years, 2 Years at visit, 6.87397260273973 Years at diagnosis,…
6 310244_TCRB 05 Years, 18.0438356164384 Years at diagnosis, 5 Years at visit,…
7 310137_TCRB 07 Years, 7 Years at visit, Caucasian, Control, Control 014, Fem…
8 310258_TCRB 12 Years, 12 Years at visit, 12.958904109589 Years at diagnosis,…
9 310127_TCRB 04 Years, 11.6821917808219 Years at diagnosis, 4 Years at visit,…
10 310300_TCRB 17 Years, 17 Years at visit, 17.7561643835616 Years at diagnosis…Augmented data (03_dat_aug.tsv)
# A tibble: 13,824 × 23
sample_name total_templates productive_templates fraction_productive
<chr> <dbl> <dbl> <dbl>
1 310102_TCRB 121173 96410 0.796
2 310102_TCRB 121173 96410 0.796
3 310102_TCRB 121173 96410 0.796
4 310102_TCRB 121173 96410 0.796
5 310102_TCRB 121173 96410 0.796
6 310102_TCRB 121173 96410 0.796
7 310102_TCRB 121173 96410 0.796
8 310102_TCRB 121173 96410 0.796
9 310102_TCRB 121173 96410 0.796
10 310102_TCRB 121173 96410 0.796
# ℹ 13,814 more rows
# ℹ 19 more variables: total_rearrangements <dbl>,
# productive_rearrangements <dbl>, productive_simpson_clonality <dbl>,
# max_productive_frequency <dbl>, locus <chr>, sku <chr>, case_control <chr>,
# id <dbl>, timepoint <dbl>, gender <chr>, ethnicity <chr>, race <chr>,
# age <dbl>, age_diagnosis <dbl>, age_visit <dbl>, antibody <chr>,
# expression <dbl>, allele <chr>, subtype <chr>| x |
|---|
| 10 |
Original data (01_dat_load.tsv)
Augmented data (03_dat_aug.tsv)
# A tibble: 13,824 × 24
sample_name total_templates productive_templates fraction_productive
<chr> <dbl> <dbl> <dbl>
1 310102_TCRB 121173 96410 0.796
2 310102_TCRB 121173 96410 0.796
3 310102_TCRB 121173 96410 0.796
4 310102_TCRB 121173 96410 0.796
5 310102_TCRB 121173 96410 0.796
6 310102_TCRB 121173 96410 0.796
7 310102_TCRB 121173 96410 0.796
8 310102_TCRB 121173 96410 0.796
9 310102_TCRB 121173 96410 0.796
10 310102_TCRB 121173 96410 0.796
# ℹ 13,814 more rows
# ℹ 20 more variables: total_rearrangements <dbl>,
# productive_rearrangements <dbl>, productive_simpson_clonality <dbl>,
# max_productive_frequency <dbl>, locus <chr>, sku <chr>, test_name <chr>,
# case_control <chr>, id <dbl>, timepoint <dbl>, gender <chr>,
# ethnicity <chr>, race <chr>, age <dbl>, age_diagnosis <dbl>,
# age_visit <dbl>, antibody <chr>, expression <dbl>, allele <chr>, …
Discuss the implications of your findings. Interpret the results and relate them to your objectives.
Summarize the main points discussed in the presentation. Emphasize the significance of your work and any future directions.